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ORCIDJoel Janek Dabrowski
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2020 – today
- 2024
[i12]Xing Wang, Joel Janek Dabrowski, Joshua Pinskier, Lois Liow, Vinoth Viswanathan, Richard Scalzo, David Howard:
PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers. CoRR abs/2407.08222 (2024)- [i11]Mubin Ul Haque, Joel Janek Dabrowski, Rebecca M. Rogers, Hazel Parry:
Detection of Animal Movement from Weather Radar using Self-Supervised Learning. CoRR abs/2408.04424 (2024) - 2023
- [c8]Joel Janek Dabrowski, Ashfaqur Rahman:
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. IJCNN 2023: 1-8 - [c7]Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert
:
A Neural Emulator for Uncertainty Estimation of Fire Propagation. INNS DLIA@IJCNN 2023: 367-376 - [i10]Joel Janek Dabrowski, Ashfaqur Rahman:
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. CoRR abs/2304.10068 (2023) - [i9]Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert:
A Neural Emulator for Uncertainty Estimation of Fire Propagation. CoRR abs/2305.06139 (2023) - 2022
- [c6]Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold:
Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. PAKDD (3) 2022: 29-41 - [c5]Andrew Bolt, Carolyn Huston, Petra Kuhnert, Joel Janek Dabrowski, James Hilton, Conrad Sanderson:
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models. SPA 2022: 110-115 - [i8]Andrew Bolt, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert:
An Emulation Framework for Fire Front Spread. CoRR abs/2203.12160 (2022) - [i7]Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold:
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection. CoRR abs/2205.06359 (2022) - [i6]Andrew Bolt, Carolyn Huston, Petra Kuhnert, Joel Janek Dabrowski, James Hilton, Conrad Sanderson:
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models. CoRR abs/2206.08523 (2022) - [i5]Joel Janek Dabrowski, Daniel Edward Pagendam:
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution. CoRR abs/2209.02188 (2022) - [i4]Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton, Conrad Sanderson, Daniel MacKinlay, Carolyn Huston, Andrew Bolt, Petra Kuhnert:
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires. CoRR abs/2212.00970 (2022) - 2020
- [j7]Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam, Andrew George:
Enforcing mean reversion in state space models for prawn pond water quality forecasting. Comput. Electron. Agric. 168 (2020) - [c4]Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman:
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting. ICONIP (3) 2020: 579-591 - [e1]Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul:
Image and Video Technology - PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18-22, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11994, Springer 2020, ISBN 978-3-030-39769-2 [contents] - [i3]Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman:
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting. CoRR abs/2002.04155 (2020) - [i2]Joel Janek Dabrowski, Ashfaqur Rahman:
Sequence-to-Sequence Imputation of Missing Sensor Data. CoRR abs/2002.10767 (2020) - [i1]Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers:
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. CoRR abs/2002.11226 (2020)
2010 – 2019
- 2019
- [j6]Ashfaqur Rahman, Stuart Arnold, Joel Janek Dabrowski:
Identification of variables affecting production outcome in prawn ponds: A machine learning approach. Comput. Electron. Agric. 156: 618-626 (2019) - [c3]Joel Janek Dabrowski, Ashfaqur Rahman:
Sequence-to-Sequence Imputation of Missing Sensor Data. Australasian Conference on Artificial Intelligence 2019: 265-276 - [c2]Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers:
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. ICONIP (4) 2019: 458-465 - 2018
- [j5]Joel Janek Dabrowski, Johan Pieter de Villiers, Conrad Beyers:
Naïve Bayes switching linear dynamical system: A model for dynamic system modelling, classification, and information fusion. Inf. Fusion 42: 75-101 (2018) - [c1]Joel Janek Dabrowski, Ashfaqur Rahman, Andrew George, Stuart Arnold, John McCulloch:
State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming. KDD 2018: 177-185 - 2017
- [j4]Joel Janek Dabrowski, Johan Pieter de Villiers, Conrad Beyers:
Context-based behaviour modelling and classification of marine vessels in an abalone poaching situation. Eng. Appl. Artif. Intell. 64: 95-111 (2017) - 2016
- [j3]Joel Janek Dabrowski, Conrad Beyers, Johan Pieter de Villiers:
Systemic banking crisis early warning systems using dynamic Bayesian networks. Expert Syst. Appl. 62: 225-242 (2016) - 2015
- [j2]Joel Janek Dabrowski, Johan Pieter de Villiers:
A unified model for context-based behavioural modelling and classification. Expert Syst. Appl. 42(19): 6738-6757 (2015) - [j1]Joel Janek Dabrowski, Johan Pieter de Villiers:
Maritime piracy situation modelling with dynamic Bayesian networks. Inf. Fusion 23: 116-130 (2015)
Coauthor Index
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